Join EY and contribute to building a better working world. As a Technology Risk Manager specializing in AI Governance, you will play a crucial role in our Technology Risk team, leading client engagements and internal projects. Your focus will be on AI Governance and Responsible AI, managing teams, client relationships, and ensuring high-quality deliverables. You will mentor team members and foster a positive learning environment, guiding clients through the evolving AI landscape by designing and implementing robust AI governance frameworks, policies, risk management practices, and compliance controls. You'll collaborate with senior stakeholders to establish effective AI governance operating models, conduct risk assessments, manage lifecycle controls, and ensure regulatory compliance, enabling the secure and ethical adoption of AI technologies.

Lead client-facing engagements and collaborate with internal audit, IT security, and business stakeholders to assess control effectiveness and drive remediation efforts. Design and implement enterprise AI Governance frameworks, policies, standards, controls, and operating models for responsible, ethical, and secure AI adoption. Conduct comprehensive AI risk assessments covering bias, fairness, explainability, transparency, privacy, security, model risk, data risk, and potential issues with Machine Learning, Generative AI, LLMs, and Agentic AI solutions. Oversee AI lifecycle governance, including intake, risk classification, approval workflows, Human-in-the-Loop controls, and monitoring throughout development, deployment, and post-production stages. Establish and manage AI inventories, model registers, and governance documentation, ensuring clear ownership and accountability.

We are seeking professionals with at least 8 years of experience in AI Governance, Model Governance, Technology Risk, AI Risk Management, Data Governance, Responsible AI, or Compliance. A strong understanding of Responsible AI principles, AI Governance frameworks, AI/ML lifecycle governance, and risk management is essential. Familiarity with AI regulations and standards like ISO/IEC 42001, NIST AI RMF, EU AI Act, and GDPR is required. Experience leading AI risk assessments, governance reviews, control assessments, assurance, remediation, and compliance reporting for various AI technologies is expected. Proficiency in managing GRC processes, audit, compliance, change management, and release governance is also necessary. Familiarity with cloud, AI, and data platforms such as Azure AI, AWS, or Google Cloud is beneficial. A bachelor’s degree in a relevant field is required, with a master’s degree being an added advantage. Relevant certifications are a plus.